Designing the Return on Expectations Training Evaluating Model (ROE): A Qualitative Research

Regarding the evolution of training evaluation, this paper seeks to examine the new concept of return on expectations in the field of training with quality approach and documentary research method. The method for data analysis was thematic analysis. Searching in scientific databases include Irandoc, Magiran, Sivilica, Elsevier, Emerald, Google Scholar, Amazon, Science Direct, IEEE, Springer, SAGE, obtained 92 documents and sources, that 19 of them were selected in the process of reviewing and selecting documents. The triangulation method was used to increase the validity and reliability coefficient calculated using the Holsti method was 85.9. The process of coding was carried out by MAXQDA software. In this process, 632 codes were obtained that were categorized in the form of 55 basic themes, 11 organizing themes and one global theme. In the end, the thematic network of return on expectations in training evaluation was provided, and based on the relationship between the organizing themes in the literature and through semi-structured interviews with 5 training evaluation experts the return on expectations training evaluating model (ROE) was designed. The components of this process model include: attributes, requirements, identifying stakeholders, determining the expectations, indexing, designing the training, delivering training, evaluating, supporting actions, monitoring, feedback, and consequences. This model can show and increase the effectiveness of training programs based on indicators derived from stakeholder expectations.